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Towards optimal engineering multitasking level through stochastic modelling

Author

Listed:
  • Gagandeep Singh
  • Leo Mougel
  • Yvan Beauregard
  • Yaoyao Fiona Zhao

Abstract

Multitasking or task switching has been a topic of interest and research in the field of operations management. There has been a little yet no full proof as to how increasing multitasking levels affect the performance of a whole engineering system. The goal of this paper is to introduce the concept of task switching into a network of engineers which handles and executes the quality complaints of a major aerospace firm and to observe the trends of performance measures such as average lead time, system utilisation and queuing time with increasing multitasking levels. The paper develops a mathematical model based on queuing theory and Jackson networks which is then applied to a discrete events-based simulation model.

Suggested Citation

  • Gagandeep Singh & Leo Mougel & Yvan Beauregard & Yaoyao Fiona Zhao, 2017. "Towards optimal engineering multitasking level through stochastic modelling," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 28(2), pages 263-278.
    • Handle: RePEc:ids:ijores:v:28:y:2017:i:2:p:263-278
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